Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures-Reference-Cited by-同舟云学术

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Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics (HiPC)
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Author:

Katsaragakis Manolis¹,Baloukas Christos¹,Papadopoulos Lazaros¹,Kantere Verena²,Catthoor Francky³,Soudris Dimitrios¹

Affiliation:

1. National Technical University of Athens,Microprocessors and Digital Systems Laboratory, ECE,Greece

2. National Technical University of Athens,Knowledge and Database Systems Laboratory, ECE,Greece

3. Katholieke Universiteit Leuven,Heverlee,Belgium,3001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10106277/10106278/10106332.pdf?arnumber=10106332

Reference35 articles.

1. A High-Performance Distributed Object-Store for Exascale Numerical Weather Prediction and Climate

2. Emerging NVM

3. System evaluation of the Intel optane byte-addressable NVM

4. Benchmarking cloud serving systems with YCSB

5. The Bw-Tree: A B-tree for new hardware platforms

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1. Analyzing Data Access Characteristics of Deep Learning Workloads and Implications;2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS);2023-09-22

2. A memory footprint optimization framework for Python applications targeting edge devices;Journal of Systems Architecture;2023-09

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